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People in prisons have a high prevalence of poly-traumatisation throughout their life span. The behavioural and emotional sequalae of trauma are likely to be managed across the whole organisation. However, there is still a lack of clarity about the key components of a trauma-informed approach within the custodial context. This study aimed to gather in-depth knowledge of staff views on the components of an optimal trauma pathway in a prison and the organisational factors that influence its implementation.

The authors’ research design is qualitative, involving in-depth, semi-structured interviews with eight members of staff from different professional backgrounds at a single prison in the UK that houses sentenced and remand prisoners. Data was analysed using reflexive thematic analysis.

Three super-ordinate themes were identified within the data. Firstly, components of a trauma-informed pathway included sub-themes of asking about what has happened and knowing how to respond; providing specialist approaches; enabling residents to cope; screening and detection; and a compassionate relational approach. Secondly, organisational factors were associated with sub-themes of culture and leadership, resources and systems and processes. Thirdly, staff factors were associated with sub-themes of skills development and training, staff well-being and support and staff attitudes.

Post-traumatic stress disorder (PTSD) and complex PTSD in prisons are under-detected, and there are complex psychosocial factors within prisons that mediate the effectiveness of psychological therapies.

To the best of the authors’ knowledge, this study represents the first exploration of staff perspectives on the components of a trauma-informed pathway within custodial settings. Future directions should involve the piloting and evaluation of the components of the trauma-informed pathway, with a focus on longer-term outcomes and exploration of the organisational factors that impact on effectiveness.

This study aims to focus on building a conceptual closed-loop vaccine supply chain (CLVSC) to decrease vaccine wastage and counterfeit/fake vaccines.

Through a focused literature review, the framework for the CLVSC is described, and the system dynamics (SD) research methodology is used to build a causal loop diagram (CLD) of the proposed model.

In the battle against COVID-19, waste management systems have become overwhelmed, which has created negative environmental and extremely hazardous societal impacts. A key contributing factor is unused vaccine doses, shown as a source for counterfeit/fake vaccines. The findings identify a CLVSC design and transshipment operations to decrease vaccine wastage and the potential for vaccine theft.

This study contributes to establishing a pandemic-specific VSC structure. The proposed model informs the current COVID-19 pandemic as well as potential future pandemics.

A large part of the negative impact of counterfeit/fake vaccines is on human well-being, and this can be avoided with proper CLVSC.

This study develops a novel overarching SD CLD by integrating the epidemic model of disease transmission, VSC and closed-loop structure. This study enhances the policymakers’ understanding of the importance of vaccine waste collection, proper handling and threats to the public, which are born through illicit activities that rely on stolen vaccine doses.

To explore how motivational interviewing (MI) training might benefit the practice of COVID-19 contact tracers.

Following co-production of a MI training package, with a United Kingdom (UK) track and trace organisation, training was delivered virtually to 101 volunteer participants involved in contact tracing. Data were captured via an online survey, incorporating questions from recognised measures of occupational self-efficacy and workplace wellbeing, prior to the training. Open data fields were used to gather feedback about participants' reasons for attending, and views about the training afterwards.

Although the contact tracers reported high occupational self-efficacy and workplace wellbeing, both quantitative and qualitative data suggested participants saw practitioner value and utility in MI.

The sample was self-selecting and typically involved contact tracers from UK local authorities. The study did not measure impact on compliance with self-isolation guidance and/or providing details of contacts, and larger-scale research would be needed to establish this. This was not a pre-post-test evaluation study, and measures of occupational self-efficacy and workplace wellbeing were gathered to give insight into the sample and to test the feasibility of using this survey for a future large-scale study. The research was conducted during the height of the pandemic. While UK COVID-19 contact tracing services have since been reduced, there are potential implications for infection control more generally.

MI is potentially a useful approach for enhancing contact tracing practice. However, implementation factors should be carefully considered, to ensure effective and sustainable practice.

Improved practice in contact tracing could have potential benefits in infection control, through improving compliance with central guidance, although this requires more widespread investigation.

This is the first empirical study to investigate how MI training could benefit COVID-19 contact tracing practice.

A slew of conventional change models and theories appear in the extant change literature. Despite being theoretically sound, these a priori structured approaches to organizational change management have questionable application given the rapidly changing business environments. Novel approaches, offering greater flexibility to fast changing external conditions, may offer superior models to organizational change and organizational transformation (OT) in particular. In this paper, the application of a complex adaptive system (CAS) framework, from complexity theory (CT), for managing OT is assessed theoretically.

A conceptual paper.

A review of the extant change literature suggests that current approaches and models for organizational change are limited in their ability to reflect OT responses to today's highly dynamic external environments. New models are required to inform and guide organizations. A new model, i.e. CAS framework, is deemed suitable to guide the OT implementation.

This paper critically analyses different approaches to change management, consolidates CAS framework, reviews its applications in the field of management and presents a case for CAS's application for the management of OT.

The present study has been carried out to assess the effect of constructs of service convenience on customer satisfaction of the Indian online shoppers.

The primary data was collected through a structured questionnaire. Convenience sampling has been used to choose a sample (n = 260) of e-shoppers in India. Factor analyses (both EFA and CFA) have been done to validate different factors and its items. A conceptual model has been proposed to measure the effect of different factors of service convenience on customer satisfaction. Moreover, the perceived difference with respect to study variables has been measured. The path analysis through AMOS 22.0 has been done to test the hypotheses under study.

It can be concluded that the effect of access convenience, search convenience, and order convenience have significant effects on customer satisfaction. However, evaluation convenience and logistics and reverse logistics convenience have an insignificant effect on customer satisfaction. The present study has a unique contribution in the field of service convenience to e-retailing customers. Moreover, the present study indicates that gender does not moderate the effect of convenience on customer satisfaction.

This is one of the few papers that focuses solely on the effect of gender on service convenience and customer satisfaction. The findings will generate value with their originality and significant managerial implications for marketers, as well as future research directions for the researchers.

The study aims to explain the process of management accounting practices and organizational change aspects in the public sector’s response to environmental pressures. Specifically, it discusses the interaction process between management accounting practices from one side and culture, leadership and decentralization from the other side.

This study adopts qualitative research approach and an interpretive case study. The study uses the triangulation method of data collection, including interviews, annual reports, documents and archival records. A theoretical lens informs it of the contextual/processual approach for interpreting interaction processes between management accounting and organizational change aspects, including culture, leadership and decentralization.

The findings confirm that a change in organizational culture has an important impact on accounting change, which has played a central role in the desire to initiate and accept such changes by the organizational members. Similarly, the new leadership style created a unique culture that was considered a solid platform to introduce new accounting systems by enhancing the trust between IT staff and management accountants and their trust in themselves to accept the change. The paper concludes that the relationships between the change aspects at the organizational level, and accounting practices at the inherent organizational and accounting levels are both recursive and two way, with the two concepts inextricably interwoven.

The study has some limitations as the data is limited to only a single country – more explanation for Jordanian Customs Organization quantitative understandings of governance improvement. The study has important implications for practitioners and customs officials by showing that different government regulations and customs reforms have varied influences on the public sector. These reforms have included most modifications to the accounting and organizational configurations. This study contributes to institutional theory development and refinement by exploring the interface between external influences and internal origins in the accounting change process.

This study uses a categorical association between organizational changes and accounting in the public sector as most prior studies have been conducted on the private sector due to competitive and technical pressures. It also contributes to organizational change and accounting literature by discussing the relationship between accounting from one side and culture and leadership from another side.

The purpose of this paper is twofold. First, to combine a holistic model – in our case the balanced scorecard – with the time-driven activity-based costing model. The inspiration for this stems both from Kaplan and Norton and from the intense discussions and use of business analytics (BA) and performance management (PM). Second, to use numerical experiments – more specifically Monte Carlo simulation – to design and explore four hypothetical scenarios within such a holistic model. The paper also aims to emphasise the role played by statistics in increasing the confidence in using such a framework.

The author runs four numerical experiments using different assumptions to show how a decision-maker can improve the outcome by making small changes in the key performance indicator (KPI) input variables.

The paper gives recommendations for the assumptions that each decision-maker has to consider when setting out to conduct this kind of analysis. Small changes in some input variables may completely change the output and hence the decision result.

The paper shows why practitioners and researchers need to better understand the limitations of deterministic analysis to make realistic models when combining more accounting models. To choose the relevant probability distributions for the input resources is an important issue for the decision-maker as they have a very large impact on the result.

The real value of the paper lies in making students and practitioners as well as researchers aware of the opportunities for stochastic modelling and also to point at the problems and limitations of combining elements from BA with performance measurement and management.

Customer experience has become a vital premise in service theory and practice. Despite researchers' and managers' growing interest, the customer experience remains a complex and multidimensional concept that is challenging for service providers to understand. This study aims to graph the experience in its multidimensionality by categorizing and proposing matching practices for service marketing managers to channel and foster customer experiences in customer journeys.

To support the predominantly conceptual nature of the study, an abductive approach underpinned by the authors' vast experience in academia and practice, real-life autohermeneutic phenomenological experience tales and theory on customer experience and its management by providers is deployed to craft a model that addresses and highlights the multidimensionality of experience.

This study introduces the “GraphEx” (Graph Experience) hip-pocket model, which expresses customer experience in a simple yet multidimensional fashion and offers managerial practices to foster the customer's experience. The model contains three dimensions (valence, type of experience and visceral intensity) and five managerial practices (urgent patchwork, restoring, activating and stimulating desire, bolstering and safeguarding appreciation).

This study contributes to the service literature by creating granularity in the multidimensionality of customer experience. This study advances customer experience management in practice by providing service managers with novel possibilities for understanding and managing customer experiences intelligently. This can help service providers streamline and innovate customer experience strategies during customer journeys and foster customer loyalty.

Machine learning (ML) techniques are increasingly important in enabling business-to-business (B2B) companies to offer personalized services to business customers. On the other hand, humans play a critical role in dealing with uncertain situations and the relationship-building aspects of a B2B business. Most existing studies advocating human-ML augmentation simply posit the concept without providing a detailed view of augmentation. Therefore, the purpose of this paper is to investigate how human involvement can practically augment ML capabilities to develop a personalized information system (PIS) for business customers.

The authors developed a research framework to create an integrated human-ML PIS for business customers. The PIS was then implemented in the energy sector. Next, the accuracy of the PIS was evaluated using customer feedback. To this end, precision, recall and F1 evaluation metrics were used.

The computed figures of precision, recall and F1 (respectively, 0.73, 0.72 and 0.72) were all above 0.5; thus, the accuracy of the model was confirmed. Finally, the study presents the research model that illustrates how human involvement can augment ML capabilities in different stages of creating the PIS including the business/market understanding, data understanding, data collection and preparation, model creation and deployment and model evaluation phases.

This paper offers novel insight into the less-known phenomenon of human-ML augmentation for marketing purposes. Furthermore, the study contributes to the B2B personalization literature by elaborating on how human experts can augment ML computing power to create a PIS for business customers.